Deep Learning Engineer Intern

Company Name: NizzCorp

Location: Malappuram, Kerala

Duration: 3 months (Internship)

About NizzCorp:

NizzCorp is a cutting-edge AI-driven company that specializes in developing innovative solutions for various industries, including education, finance, and e-commerce. We're passionate about pushing the boundaries of what's possible with AI and machine learning.

Job Description:

We're seeking a highly motivated and talented Deep Learning Engineer Intern to join our team. As an intern, you'll work on exciting projects, collaborate with our team of experts, and contribute to the development of AI-powered solutions.

Responsibilities:

- Develop and implement deep learning models using frameworks like TensorFlow, PyTorch, or Keras

- Design and optimize neural network architectures for various tasks, such as computer vision, NLP, or recommender systems

- Work with large datasets, preprocess data, and perform exploratory data analysis

- Collaborate with cross-functional teams to integrate AI models into production-ready products

- Stay up-to-date with the latest deep learning research and technologies

Requirements:

- A Bachelor's or Master's degree in Computer Science, AI, or related fields

- Strong foundation in deep learning concepts, including neural networks, CNNs, RNNs, and transformers

- Proficiency in programming languages like Python, C++, or Java

- Experience with deep learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras)

- Excellent problem-solving skills and attention to detail

Nice-to-Have:

- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker)

- Knowledge of NLP, computer vision, or recommender systems

- Familiarity with data structures and algorithms

What We Offer:

- A stipend as per company norms

- Opportunity to work with cutting-edge AI technologies

- Mentorship and guidance from experienced professionals

- Collaborative and dynamic work environment

- Certificate of completion and letter of recommendation upon successful completion of the internship

Job Type: Full-time

Work Location: In person